معرفی
Terrence W.K. Mak is a Lecturer in the Department of Data Science & AI at Monash University, within the Faculty of IT. He is affiliated with the Monash Energy Institute and Monash Data Futures Institute, focusing on interdisciplinary research at the intersection of mathematical optimization, machine learning, and energy systems. His work addresses climate change challenges in the energy sector, such as net-zero emissions and climate-resilient infrastructure.
Academically, he holds a PhD from the Australian National University (2018), MPhil and BSc from the Chinese University of Hong Kong (2011, 2009). He has held postdoctoral and research roles at Georgia Tech and the University of Michigan, collaborating extensively with Prof. Pascal Van Hentenryck and Prof. Jimmy Lee.
His research emphasizes combining machine learning and optimization to solve energy sector problems, including smart grid technologies, disaster management, and sustainable informatics. Key collaborations include ARPA-E projects (e.g., Grid Optimization Competition), US national laboratories, and industry partners like RTE France and Origin Energy.
Recent projects include Grid Guru (AI-driven grid optimization) and consultancy for Origin Energy. He supervises PhD students focusing on deep learning and nonlinear optimization for smart grids.
